Emphasizes the strategy of experimentation, data analysis, and the interpretation of experimental results.
- Features numerous examples using actual engineering and scientific studies.
- Presents statistics as an integral component of experimentation from the planning stage to the presentation of the conclusions.
- Deep and concentrated experimental design coverage, with equivalent but separate emphasis on the analysis of data from the various designs.
- Topics can be implemented by practitioners and do not require a high level of training in statistics.
- New edition includes new and updated material and computer output.
"With an excellent presentation, this is suitable as a textbook in a graduate level course in design of experiments." (
Journal of Statistical Computation and Simulation, April 2005)
"...can really provide useful information for the intended audience..." (Zentralblatt Math, Vol. 1029, 2004)
...a practitioner s guide to statistical methods for designing and analyzing experiments... (Quarterly of Applied Mathematics, Vol. LXI, No. 3, September 2003)
"...a perfect desktop reference..." (Technometrics, Vol. 45, No. 3, August 2003)